Science and Engineering Ethics

, Volume 17, Issue 3, pp 503–523

Intrinsic Ethics Regarding Integrated Assessment Models for Climate Management

Authors

    • Science, Technology, and Society ProgramThe Pennsylvania State University
  • Seth D. Baum
    • Department of GeographyThe Pennsylvania State University
  • Nancy Tuana
    • Department of Philosophy, Rock Ethics InstituteThe Pennsylvania State University
  • Kenneth J. Davis
    • Department of MeteorologyThe Pennsylvania State University
  • Klaus Keller
    • Department of GeosciencesThe Pennsylvania State University
Article

DOI: 10.1007/s11948-010-9209-3

Cite this article as:
Schienke, E.W., Baum, S.D., Tuana, N. et al. Sci Eng Ethics (2011) 17: 503. doi:10.1007/s11948-010-9209-3

Abstract

In this essay we develop and argue for the adoption of a more comprehensive model of research ethics than is included within current conceptions of responsible conduct of research (RCR). We argue that our model, which we label the ethical dimensions of scientific research (EDSR), is a more comprehensive approach to encouraging ethically responsible scientific research compared to the currently typically adopted approach in RCR training. This essay focuses on developing a pedagogical approach that enables scientists to better understand and appreciate one important component of this model, what we call intrinsic ethics. Intrinsic ethical issues arise when values and ethical assumptions are embedded within scientific findings and analytical methods. Through a close examination of a case study and its application in teaching, namely, evaluation of climate change integrated assessment models, this paper develops a method and case for including intrinsic ethics within research ethics training to provide scientists with a comprehensive understanding and appreciation of the critical role of values and ethical choices in the production of research outcomes.

Keywords

Research ethics Intrinsic ethics Integrated assessment models Climate management Ethical dimensions of scientific research (EDSR) Optimal growth models

Copyright information

© Springer Science+Business Media B.V. 2010